Review paper
Using Data Mining to Detect Health Care Fraud and Abuse: A Review of Literature
Abstract
Inappropriate payments by insurance organizations or third party payers occur because of errors, abuse and fraud. The scale of this problem is large enough to make it a priority issue for health systems. Traditional methods of detecting health care fraud and abuse are time-consuming and inefficient. Combining automated methods and statistical knowledge lead to the emergence of a new interdisciplinary branch of science that is named Knowledge...
Paper Details
Title
Using Data Mining to Detect Health Care Fraud and Abuse: A Review of Literature
Published Date
Aug 31, 2014
Volume
7
Issue
1
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